Predicting the outcome of roulette

There have been several popular reports of various groups exploiting the deterministic nature of the game of roulette for profit. Moreover, through its history the inherent determinism in the game of roulette has attracted the attention of many luminaries of chaos theory. In this paper we provide a short review of that history and then set out to determine to what extent that determinism can really be exploited for profit. To do this, we provide a very simple model for the motion of a roulette wheel and ball and demonstrate that knowledge of initial position, velocity and acceleration is sufficient to predict the outcome with adequate certainty to achieve a positive expected return. We describe two physically realisable systems to obtain this knowledge both incognito and {\em in situ}. The first system relies only on a mechanical count of rotation of the ball and the wheel to measure the relevant parameters. By applying this techniques to a standard casino-grade European roulette wheel we demonstrate an expected return of at least 18%, well above the -2.7% expected of a random bet. With a more sophisticated, albeit more intrusive, system (mounting a digital camera above the wheel) we demonstrate a range of systematic and statistically significant biases which can be exploited to provide an improved guess of the outcome. Finally, our analysis demonstrates that even a very slight slant in the roulette table leads to a very pronounced bias which could be further exploited to substantially enhance returns.Comment: Revise

Feasible implementation of a prediction algorithm for the game of roulette

APCCAS 2008 - 2008 IEEE Asia Pacific Conference on Circuits and Systems, Macao, 30 November-3 December 2008We present a mathematical model of the game of roulette and describe the implementation of an image processing and data analysis system to successfully predict the outcome of the game. Both the case of a fair (level) and biased (tilted) wheel will be described but the focus in this presentation is the (harder) case of a perfectly fair wheel. We show that when implemented on a casino-grade roulette wheel our technique obtains an expected return of over 40%, in contrast, the expected return for an uninformed gambler is - 2.7%.Department of Electronic and Information EngineeringRefereed conference pape